【作者】

Kalevi Tervo

【摘要】

该论文已在赫尔辛基举行的第28届CIMAC大会上发表，论文的版权归CIMAC所有。ABSTRACT Traditionally the ships have been desiged to one point and every system has been optimized to perform optimally in that particular point. However, the ships are very rarely operated in their design points. As a consequence of the single-point design optimization, the system level performance will be poor outside that point, meaning that the ship only rarely runs at optimal performance. Improvements in the systems which are in very low level in the energy conversion and transfer chain are intuitive and easily justifiable. For example, it is very easy to calculate the payback time for installing a Variable Speed Drive (VSD) for seawater cooling loop. When it comes to more complex systems, where different domains of energies are interacting with each other and systems have strong nonlinear interconnections and feedback loops, the efficiency improvements due to the technology improvements are not that easily justifiable for a human since the effects might not be intuitive for human comprehension. Therefore, in order to find the most beneficial results for the customer, it is important that the system level performance of the overall solution can be evaluated in the design phase, taking into account the assumed operation profile as well as the uncertainty of the assumptions. This paper proposes a method for using simulation to design optimal solution for the customer based on the actual operation profile. The method uses measured or estimated operation profiles and the Ship Energy Flow Simulator to calculate the optimal system level solution for a specific improvement, such as shaft generator, waste heat recovery system, etc. The proposed method takes into account the robustness of the solution, meaning that it can analyse the sensitivity of the Return Of Investment (ROI) time for the uncertainty in the assumed operation profile. Because the solution takes into account the uncertainty of the operation profile, the ROI time will most likely be reached in practice even though the operation profile of the ship would not be exactly the same as assumed in the design phase. The robust design method will be demonstrated using real measured data from a container vessel to design a shaft generator system for similar container vessel. The robustness of the ROI times are analysed with different sizes of the shaft generator and it is shown that if the uncertainty is not taken into account, one can end up in an investment which never pays back.

【会议名称】

第28届CIMAC会议

【会议地点】

芬兰 赫尔辛基

【下载次数】

3

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